期刊
ROBOTICS
卷 7, 期 2, 页码 -出版社
MDPI
DOI: 10.3390/robotics7020017
关键词
learning from demonstration; imitation learning; robotic assembly; machine learning
类别
资金
- China Scholarship Council (CSC)
- Essex University Scholarship
Learning from demonstration (LfD) has been used to help robots to implement manipulation tasks autonomously, in particular, to learn manipulation behaviors from observing the motion executed by human demonstrators. This paper reviews recent research and development in the field of LfD. The main focus is placed on how to demonstrate the example behaviors to the robot in assembly operations, and how to extract the manipulation features for robot learning and generating imitative behaviors. Diverse metrics are analyzed to evaluate the performance of robot imitation learning. Specifically, the application of LfD in robotic assembly is a focal point in this paper.
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